Taking Advantage of the Data

In machine learning and artificial intelligence (AI), data is the lifeblood that fuels the development of sophisticated algorithms and models. Raw data must be appropriately labeled and organized, however, to leverage the full potential of data-driven technologies. This process is known as data annotation. Analytics Insight brought this interesting information to our attention in their article, “Data Annotation and its Benefits for…

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The Impact of AI for Patients

Artificial Intelligence (AI) is playing a transformative role in the field of healthcare by aiding in the diagnosis of diseases. The application of AI in medical diagnosis has the potential to enhance accuracy, speed up processes, and provide valuable insights to healthcare professionals. This topic came to us from UT Health in San Antonio in…

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The Familiarity of AI

Artificial intelligence (AI) and machine learning are becoming daily terminology not only for professionals but also consumers. This interesting topic came to us from Built In and their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, as it is being used worldwide across multiple industries…

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Diving into Analytics

Artificial intelligence (AI)-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. AI can also deep dive into data analytics about customers and offer predictions about consumer preferences, product development, and marketing channels. This interesting information came to us from IT Web in their article, “The (near)…

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Both Sides of Generative AI

There has always been fear surrounding artificial intelligence (AI) and, with the recent advances using natural language processing (NLP) and chatbots, it has increased by quite a bit. There are, however, perpetual advances in science. It’s up to us to find the benefits where we can. Analytics Insight brought this interesting information to our attention…

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Mitigating Risks with AI

It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some users are hesitant of automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting information came to us…

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Human Error in Technology

Artificial intelligence (AI) has been helping us in various applications such as customer service, securities trading, and healthcare. Now researchers have found that AI can be used to predict natural disasters. AI can forecast the occurrence of several different types of natural disaster, using vast volumes of high-quality data, and is therefore now at the…

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Calming Fear

A lot of fear surrounds artificial intelligence (AI). Some is connected to perceived job security and some is related to technology “doomsday” scenarios. The University of Waterloo researchers have developed a new explainable AI model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. This interesting information came to…

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Emerging Technologies and Regulation

The question of whether emerging technology should be regulated is a complex and nuanced one. The answer depends on various factors, including the specific technology in question, its potential benefits and risks, and the broader societal context. This interesting information came to us from Governing in their article, “How Should Government Regulate Emerging Technology?” There…

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Where Are We With Technology?

Back in January, experts in emerging technologies shared their predictions about the tools that will shape the next 12 months. Artificial intelligence (AI), cybersecurity, and the metaverse topped that list. Now, more than halfway through the year, have these changed? This interesting information came to us from Raconteur in their article, “2023 mid-year trends: the emerging…

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